摘 要:
通過分析小波理論和灰色模型的各自特征,提出一種基于小波分析的灰色預(yù)測(cè)模型。根據(jù)小波變換特點(diǎn),對(duì)變形監(jiān)測(cè)數(shù)據(jù)序列進(jìn)行分解,對(duì)各個(gè)分解后的子序列利用灰色模型進(jìn)行預(yù)測(cè),最后重構(gòu)變形預(yù)測(cè)結(jié)果,且將該結(jié)果與灰色模型預(yù)測(cè)結(jié)果進(jìn)行比較。結(jié)果表明,該方法具有較強(qiáng)的預(yù)測(cè)能力。
Abstract:
Through analyzing the characteristics of wavelet theory and grey model, the grey forecast model based on wavelet analysis is proposed. By the wavelet transform, the deformation sequence is decomposed and then each subsequence is forecasted with grey model. After reconstruction, the forecasted results are obtained. At the same time, the results are compared with that forecasted only by use of grey model. The research shows that the new forecasting method can improve forecast precision.
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